AI Engineer

Opportunity:

Get Well is seeking a highly skilled and proficient Staff AI Engineer to drive the development and implementation of advanced AI solutions. This role focuses on the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. You will work closely with AI engineering teams, product teams, and cross-functional stakeholders to translate technological capabilities into impactful healthcare solutions, serving as a key technical liaison.

Responsibilities:

 AI Solution Development

• Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems.
• Develop and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation.
• Enhance product ecosystems by incorporating emerging AI technologies to improve functionality and user experience.
• Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems.
• Ensure technical excellence in AI solution design and implementation.
• Evaluate and integrate emerging AI technologies into existing systems.

Cross-Functional Collaboration

• Serve as primary technical liaison between AI engineering teams and product teams
• Translate technical capabilities into product requirements and user-centric solutions
• Help facilitate communication and alignment across engineering, product, and clinical teams
• Drive collaborative innovation and knowledge sharing

Infrastructure and Optimization

• Optimize cloud-based AI infrastructure for scalability, performance, and reliability.
• Implement best practices for efficient AI system deployment and maintenance, including agentic workflows.

Performance and Quality Assurance

• Establish and maintain rigorous testing and validation protocols for AI models
• Drive continuous improvement in AI model accuracy, efficiency, and robustness.

Monitoring and Observability 

• Implement and manage monitoring solutions for AI systems using tools such as Langfuse, Prometheus, Grafana, or equivalent platforms to ensure operational health and performance.
• Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability.